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access icon free Optimisation of fuel efficiency for freeway vehicles

  • Author(s): Bwo-Ren Ke 1, 2 ; Chun-Liang Lin 3 ; Chi-Pin Wang 3 ; Fang Cao 2
    • View affiliations
    • Affiliations: 1: Department of Electrical Engineering, National Penghu University of Science and Technology, Makung, Penghu 880, Taiwan;
      2: State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, People's Republic of China;
      3: Department of Electrical Engineering, National Chung Hsing University, Taichung 402, Taiwan
  • Source: Volume 8, Issue 5, August 2014, p. 490 – 498
    DOI:  10.1049/iet-its.2013.0059 , Print ISSN 1751-956X, Online ISSN 1751-9578
© The Institution of Engineering and Technology
Received 31/07/2011, Accepted 26/10/2013, Revised 01/10/2013, Published 15/01/2014

A novel idea for optimising the driving strategies based on the vehicle speed and acceleration commands is developed and proposed to improve the fuel efficiency of the next generation freeway vehicles. The decision-making problem of driving strategies is converted into a combinatorial optimisation problem by dividing the route into a certain amount of consecutive sections, and the optimal speed and acceleration commands to be recommended to the vehicles are determined. Traffic condition in the freeway is defined as the traffic operating at the free-flow speed that is not inhibited by the presence of other vehicles, for example, off-peak times or sparsely populated areas. A two-stage process is used for optimisation. In stage one, the ADVISOR software is used to perform offline calculation of fuel consumption in divided sections for reducing time cost of the online optimisation. The lookup table of consumed fuel and time of the vehicle with different operation conditions is constructed for online process. In stage two, the MAX–MIN ant system algorithm is used to optimise the fuel-efficient driving strategies. A real route is considered as the object for experimental study. The results show that, based on the proposed fuel-efficient driving strategy, fuel consumption could be significantly improved while compared with the aggressive driving strategies.

Inspec keywords: energy conservation; minimax techniques; vehicle routing; traffic information systems; fuel economy

Other keywords: driving strategies; time cost reduction; combinatorial optimisation problem; aggressive driving strategies; optimal speed; ADVISOR software; max-min ant system algorithm; fuel efficiency optimisation; two-stage process; decision-making problem; acceleration commands; traffic condition; fuel consumption calculation; freeway vehicles; fuel-efficient driving strategy

Subjects: Combinatorial mathematics; Traffic engineering computing; Optimisation techniques

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